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intrans
- 执行灰度图像的亮度变换。包括负片变换，对数变换，gamma变换和对比拉伸变换
intrans
- 变换功能的函数，此函数实现亮度变换，增强。
intrans
- 车牌识别中的trans函数代码，主要功能是实现阈值的划分
intrans
- 图像的亮度变换函数，实现了图像的四种亮度的变换。
intrans
- 本源码在MATLAB中通过M文件编程实现了图像增强的多方法实现算法
intrans.rar
- MATLAB 中对比度拉伸变换增强函数的M文件。,intrans
intrans
- 利用对比度拉伸方法增强图像，函数mean2直接在函数调用内计算平均值-Contrast stretching method to enhance the image, function mean2 directly in the function call to calculate the average
intrans
- 包括负片变换、对数变换、gamma变换和对比度拉伸变换的图像变换函数-Including the negative transformation, logarithmic transformation, gamma and contrast stretch transform transform image transform function
intrans
- 直方图拉伸函数。这个函数综合了常见的直方图拉伸方法，可以通过不同参数实现不同的直方图拉伸效果。-Histogram stretching function. This function is integrated in a common histogram stretching method, different parameters can be achieved through different histogram drawing effect.
intrans
- matlab关于图像增强方面的源码，供初学者使用-matlab source code on the image enhancement for beginners
intrans
- Intensity (gray-level) transformations.
intrans
- 这是用Matlab写的m文件，实现图片灰度变换功能，具体功能和操作在程序中有详细说明-It is written with Matlab m file functions to achieve image gray-scale transformation, the specific functions and operations are detailed in the program
intrans
- 该函数可将输入值低于m的灰度级压缩为输出图像中较暗灰度级的较窄范围内，可将输入值高于m的灰度级压缩为输出图像中较亮灰度级的较窄范围内，输出的是一副具有较高对比度的图像。-This function can be lower than the input value for compressed grayscale m output image is dark gray level of a narrow range, but will the input value is higher than
intrans
- 灰度图像的灰度值对数变换 适用于增强对比度-INTRANS Performs intensity (gray-level) transformation.
intrans
- 灰度变换元代码，用于matlab7.0以上版本-Picture Process
intrans
- 一个函数，可以计算负片变换，对数变换，gamma变换和对比度拉伸变换-INTRANS Performs the intensity(gray-level) transformation, including computing the negative, log, gamma, stretch of input image.
intrans
- 这是用Matlab写的m文件，主要是实现图片灰度变换功能，具体功能和操作在程序中有详细说明-This is written in Matlab m file, image gray-scale transformation, specific functions and operations in the program are described in detail
intrans
- MATLAB 中进行对比度拉伸变换增强函数的M文件(M file for contrast extension transform enhancement function in MATLAB.)